Mobile motion capture cameras

ABSTRACT

Capturing motion, including: coupling at least one body marker on at least one body point of at least one actor; coupling at least one facial marker on at least one facial point of the at least one actor; arranging a plurality of motion capture cameras around a periphery of a motion capture volume, the plurality of motion capture cameras is arranged such that substantially all laterally exposed surfaces of the at least one actor while in motion within the motion capture volume are within a field of view of at least one of the plurality of motion capture cameras at substantially all times; attaching at least one wearable motion capture camera to the at least one actor, wherein substantially all of the at least one facial marker and the at least one body marker on the at least one actor are within a field of view of the at least one wearable motion capture camera.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation-in-part application of U.S. patentapplication Ser. No. 12/013,257, filed Jan. 11, 2008, entitled “MobileMotion Capture Cameras”, which is a continuation of U.S. patentapplication Ser. No. 11/372,330 (now U.S. Pat. No. 7,333,113), filedMar. 8, 2006, entitled “Mobile Motion Capture Cameras” (claimed priorityfrom U.S. Provisional Patent Application Ser. No. 60/696,193, filed Jul.1, 2005, entitled “Mobile Motion Capture Cameras”), which is acontinuation-in-part of U.S. patent application Ser. No. 11/004,320,filed Dec. 3, 2004, entitled “System and Method for Capturing Facial andBody Motion”, which is a continuation-in-part of U.S. patent applicationSer. No. 10/427,114 (now U.S. Pat. No. 7,218,320), filed May 1, 2003,entitled “System and Method for Capturing Facial and Body Motion”(claimed priority from U.S. Provisional Patent Application Ser. No.60/454,872 filed Mar. 13, 2003).

Benefits of priority of these applications, including the filing datesof Mar. 13, 2003, May 1, 2003, Dec. 3, 2004, Jul. 1, 2005, Mar. 8, 2006,and Jan. 11, 2008 are hereby claimed, and the disclosures of theabove-referenced patent applications are incorporated herein byreference.

BACKGROUND

The present invention relates to three-dimensional graphics andanimation, and more particularly, to a motion capture system thatenables both facial and body motion to be captured simultaneously withina volume that can accommodate plural actors.

Motion capture systems are used to capture the movement of a real objectand map it onto a computer generated object. Such systems are often usedin the production of motion pictures and video games for creating adigital representation of a person that is used as source data to createa computer graphics (CG) animation. In a typical system, an actor wearsa suit having markers attached at various locations (e.g., having smallreflective markers attached to the body and limbs) and digital camerasrecord the movement of the actor from different angles whileilluminating the markers. The system then analyzes the images todetermine the locations (e.g., as spatial coordinates) and orientationof the markers on the actor's suit in each frame. By tracking thelocations of the markers, the system creates a spatial representation ofthe markers over time and builds a digital representation of the actorin motion. The motion is then applied to a digital model, which may thenbe textured and rendered to produce a complete CG representation of theactor and/or performance. This technique has been used by specialeffects companies to produce incredibly realistic animations in manypopular movies.

Motion capture systems are also used to track the motion of facialfeatures of an actor to create a representation of the actor's facialmotion and expression (e.g., laughing, crying, smiling, etc.). As withbody motion capture, markers are attached to the actor's face andcameras record the actor's expressions. Since facial movement involvesrelatively small muscles in comparison to the larger muscles involved inbody movement, the facial markers are typically much smaller than thecorresponding body markers, and the cameras typically have higherresolution than cameras usually used for body motion capture. Thecameras are typically aligned in a common plane with physical movementof the actor restricted to keep the cameras focused on the actor's face.The facial motion capture system may be incorporated into a helmet orother implement that is physically attached to the actor so as touniformly illuminate the facial markers and minimize the degree ofrelative movement between the camera and face. For this reason, facialmotion and body motion are usually captured in separate steps. Thecaptured facial motion data is then combined with captured body motiondata later as part of the subsequent animation process.

An advantage of motion capture systems over traditional animationtechniques, such as keyframing, is the capability of real-timevisualization. The production team can review the spatial representationof the actor's motion in real-time or near real-time, enabling the actorto alter the physical performance in order to capture optimal data.Moreover, motion capture systems detect subtle nuances of physicalmovement that cannot be easily reproduced using other animationtechniques, thereby yielding data that more accurately reflects naturalmovement. As a result, animation created using source material that wascollected using a motion capture system will exhibit a more lifelikeappearance.

Notwithstanding these advantages of motion capture systems, the separatecapture of facial and body motion often results in animation data thatis not truly lifelike. Facial motion and body motion are inextricablylinked, such that a facial expression is often enhanced by correspondingbody motion. For example, an actor may utilize certain body motion(i.e., body language) to communicate motions and emphasize correspondingfacial expressions, such as using arm flapping when talking excitedly orshoulder shrugging when frowning. This linkage between facial motion andbody motion is lost when the motions are captured separately, and it isdifficult to synchronize these separately captured motions together.When the facial motion and body motion are combined, the resultinganimation will often appear noticeably abnormal. Since it is anobjective of motion capture to enable the creation of increasinglyrealistic animation, the decoupling of facial and body motion representsa significant deficiency of conventional motion capture systems.

Another drawback of conventional motion capture systems is that motiondata of an actor may be occluded by interference with other objects,such as props or other actors. Specifically, if a portion of the body orfacial markers is blocked from the field of view of the digital cameras,then data concerning that body or facial portion is not collected. Thisresults in an occlusion or hole in the motion data. While the occlusioncan be filled in later during post-production using conventionalcomputer graphics techniques, the fill data lacks the quality of theactual motion data, resulting in a defect of the animation that may bediscernable to the viewing audience. To avoid this problem, conventionalmotion capture systems limit the number of objects that can be capturedat one time, e.g., to a single actor. This also tends to make the motiondata appear less realistic, since the quality of an actor's performanceoften depends upon interaction with other actors and objects. Moreover,it is difficult to combine these separate performances together in amanner that appears natural.

Yet another drawback of conventional motion capture systems is thataudio is not recorded simultaneously with the motion capture. Inanimation, it is common to record the audio track first, and thenanimate the character to match the audio track. During facial motioncapture, the actor will lip synch to the recorded audio track. Thisinevitably results in a further reduction of the visual quality of themotion data, since it is difficult for an actor to perfectly synchronizefacial motion to the audio track. Also, body motion often affects theway in which speech is delivered, and the separate capture of body andfacial motion increases the difficulty of synchronizing the audio trackto produce a cohesive end product.

Accordingly, it would be desirable to provide a motion capture systemthat overcomes these and other drawbacks of the prior art. Morespecifically, it would be desirable to provide a motion capture systemthat enables both body and facial motion to be captured simultaneouslywithin a volume that can accommodate plural actors. It would also bedesirable to provide a motion capture system that enables audiorecording simultaneously with body and facial motion capture.

SUMMARY

In one implementation, a method for capturing motion is disclosed. Themethod includes: coupling at least one body marker on at least one bodypoint of at least one actor; coupling at least one facial marker on atleast one facial point of the at least one actor; arranging a pluralityof motion capture cameras around a periphery of a motion capture volume,the plurality of motion capture cameras is arranged such thatsubstantially all laterally exposed surfaces of the at least one actorwhile in motion within the motion capture volume are within a field ofview of at least one of the plurality of motion capture cameras atsubstantially all times; attaching at least one wearable motion capturecamera to the at least one actor, wherein substantially all of the atleast one facial marker and the at least one body marker on the at leastone actor are within a field of view of the at least one wearable motioncapture camera.

In another implementation, a system for capturing facial and body motionis disclosed. The system includes: at least one wearable motion capturecamera attached to an actor; and a motion capture processor coupled tothe at least one wearable motion capture camera to produce a digitalrepresentation of movements of a face and hands of the actor, wherein aplurality of facial markers defining plural facial points is disposed onthe face and a plurality of body markers defining plural body points isdisposed on the hands, wherein the at least one wearable motion capturecamera is positioned so that each of the plurality of facial markers andthe plurality of body markers is within a field of view of the at leastone wearable motion capure camera, and wherein the at least one wearablemotion capture camera is configured to move with the actor.

In another implementation, a non-transitory tangible storage mediumstoring a computer program for capturing hand motion of an actor isdisclosed. The computer program comprises executable instructions thatcause a computer to: capture motion data from at least one body markerattached near a tip of each of at least one finger of the actor; andgenerate a digital representation of a motion of the at least one fingerusing the captured motion data.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram illustrating a motion capture system inaccordance with an embodiment of the present invention;

FIG. 2 is a top view of a motion capture volume with a plurality ofmotion capture cameras arranged around the periphery of the motioncapture volume;

FIG. 3 is a side view of the motion capture volume with a plurality ofmotion capture cameras arranged around the periphery of the motioncapture volume;

FIG. 4 is a top view of the motion capture volume illustrating anarrangement of facial motion cameras with respect to a quadrant of themotion capture volume;

FIG. 5 is a top view of the motion capture volume illustrating anotherarrangement of facial motion cameras with respect to corners of themotion capture volume;

FIG. 6 is a perspective view of the motion capture volume illustrating amotion capture data reflecting two actors in the motion capture volume;

FIG. 7 illustrates motion capture data reflecting two actors in themotion capture volume and showing occlusions regions of the data;

FIG. 8 illustrates motion capture data as in FIG. 7, in which one of thetwo actors has been obscured by an occlusion region;

FIG. 9 is a block diagram illustrating an alternative embodiment of themotion capture cameras utilized in the motion capture system;

FIG. 10 is a block diagram illustrating a motion capture system inaccordance with another embodiment of the present invention;

FIG. 11 is a top view of an enlarged motion capture volume defining aplurality of performance regions; and

FIGS. 12A-12C are top views of the enlarged motion capture volume ofFIG. 11 illustrating another arrangement of motion capture cameras.

FIG. 13 shows a frontal view of one implementation of cameras positionedon a mobile motion capture rig.

FIG. 14 illustrates a frontal view of a particular implementation of themobile motion capture rig shown in FIG. 13.

FIG. 15 illustrates a top view of a particular implementation of themobile motion capture rig shown in FIG. 13.

FIG. 16 illustrates a side view of a particular implementation of themobile motion capture rig shown in FIG. 13.

FIG. 17 shows a frontal view of another implementation of cameraspositioned on a mobile motion capture rig.

FIG. 18 shows a front perspective view of yet another implementation ofcameras positioned on a mobile motion capture rig.

FIG. 19 illustrates one implementation of a method for capturing motion.

FIG. 20 shows a marker placement configuration for attaching markers ona hand in accordance with one implementation of the present invention.

DETAILED DESCRIPTION

As will be further described below, the present invention satisfies theneed for a motion capture system that enables both body and facialmotion to be captured simultaneously within a volume that canaccommodate plural actors. Further, the present invention also satisfiesthe need for a motion capture system that enables audio recordingsimultaneously with body and facial motion capture. In the detaileddescription that follows, like element numerals are used to describelike elements illustrated in one or more of the drawings.

Referring first to FIG. 1, a block diagram illustrates a motion capturesystem 10 in accordance with an embodiment of the present invention. Themotion capture system 10 includes a motion capture processor 12 adaptedto communicate with a plurality of facial motion cameras 14 ₁-14 _(N)and a plurality of body motion cameras 16 ₁-16 _(N). The motion captureprocessor 12 may further comprise a programmable computer having a datastorage device 20 adapted to enable the storage of associated datafiles. One or more computer workstations 18 ₁-18 _(N) may be coupled tothe motion capture processor 12 using a network to enable multiplegraphic artists to work with the stored data files in the process ofcreating a computer graphics animation. The facial motion cameras 14₁-14 _(N) and body motion cameras 16 ₁-16 _(N) are arranged with respectto a motion capture volume (described below) to capture the combinedmotion of one or more actors performing within the motion capturevolume.

Each actor's face and body is marked with markers that are detected bythe facial motion cameras 14 ₁-14 _(N) and body motion cameras 16 ₁-16_(N) during the actor's performance within the motion capture volume.The markers may be reflective or illuminated elements. Specifically,each actor's body may be marked with a plurality of reflective markersdisposed at various body locations including head, legs, arms, andtorso. The actor may be wearing a body suit formed of non-reflectivematerial to which the markers are attached. The actor's face will alsobe marked with a plurality of markers. The facial markers are generallysmaller than the body markers and a larger number of facial markers areused than body markers. To capture facial motion with sufficientresolution, it is anticipated that a high number of facial markers beutilized (e.g., more than 100). In one implementation, 152 small facialmarkers and 64 larger body markers are affixed to the actor. The bodymarkers may have a width or diameter in the range of 5 to 9 millimeters,while the face markers may have a width or diameter in the range of 2 to4 millimeters.

To ensure consistency of the placement of the face markers, a mask maybe formed of each actor's face with holes drilled at appropriatelocations corresponding to the desired marker locations. The mask may beplaced over the actor's face, and the hole locations marked directly onthe face using a suitable pen. The facial markers can then be applied tothe actor's face at the marked locations. The facial markers may beaffixed to the actor's face using suitable materials known in thetheatrical field, such as make-up glue. This way, a motion captureproduction that extends over a lengthy period of time (e.g., months) canobtain reasonably consistent motion data for an actor even though themarkers are applied and removed each day.

The motion capture processor 12 processes two-dimensional imagesreceived from the facial motion cameras 14 ₁-14 _(N) and body motioncameras 16 ₁-16 _(N) to produce a three-dimensional digitalrepresentation of the captured motion. Particularly, the motion captureprocessor 12 receives the two-dimensional data from each camera andsaves the data in the form of multiple data files into data storagedevice 20 as part of an image capture process. The two-dimensional datafiles are then resolved into a single set of three-dimensionalcoordinates that are linked together in the form of trajectory filesrepresenting movement of individual markers as part of an imageprocessing process. The image processing process uses images from one ormore cameras to determine the location of each marker. For example, amarker may only be visible to a subset of the cameras due to occlusionby facial features or body parts of actors within the motion capturevolume. In that case, the image processing uses the images from othercameras that have an unobstructed view of that marker to determine themarker's location in space.

By using images from multiple cameras to determine the location of amarker, the image processing process evaluates the image informationfrom multiple angles and uses a triangulation process to determine thespatial location. Kinetic calculations are then performed on thetrajectory files to generate the digital representation reflecting bodyand facial motion corresponding to the actors' performance. Using thespatial information over time, the calculations determine the progressof each marker as it moves through space. A suitable data managementprocess may be used to control the storage and retrieval of the largenumber files associated with the entire process to/from the data storagedevice 20. The motion capture processor 12 and workstations 18 ₁-18 _(N)may utilize commercial software packages to perform these and other dataprocessing functions, such as available from Vicon Motion Systems orMotion Analysis Corp.

The motion capture system 10 further includes the capability to recordaudio in addition to motion. A plurality of microphones 24 ₁-24 _(N) maybe arranged around the motion capture volume to pick up audio (e.g.,spoken dialog) during the actors' performance. The motion captureprocessor 12 may be coupled to the microphones 24 ₁-24 _(N), eitherdirectly or through an audio interface 22. The microphones 24 ₁-24 _(N)may be fixed in place, or may be moveable on booms to follow the motion,or may be carried by the actors and communicate wirelessly with themotion capture processor 12 or audio interface 22. The motion captureprocessor 12 would receive and store the recorded audio in the form ofdigital files on the data storage device 20 with a time track or otherdata that enables synchronization with the motion data.

FIGS. 2 and 3 illustrate a motion capture volume 30 surrounded by aplurality of motion capture cameras. The motion capture volume 30includes a peripheral edge 32. The motion capture volume 30 isillustrated as a rectangular-shaped region subdivided by grid lines. Itshould be appreciated that the motion capture volume 30 actuallycomprises a three-dimensional space with the grid defining a floor forthe motion capture volume. Motion would be captured within the threedimensional space above the floor. In one implementation of theinvention, the motion capture volume 30 comprises a floor area ofapproximately 10 feet by 10 feet, with a height of approximately 6 feetabove the floor. Other size and shape motion capture volumes can also beadvantageously utilized to suit the particular needs of a production,such as oval, round, rectangular, polygonal, etc.

FIG. 2 illustrates a top view of the motion capture volume 30 with theplurality of motion capture cameras arranged around the peripheral edge32 in a generally circular pattern. Individual cameras are representedgraphically as triangles with the acute angle representing the directionof the lens of the camera, so it should be appreciated that theplurality of cameras are directed toward the motion capture volume 30from a plurality of distinct directions. More particularly, theplurality of motion capture cameras further include a plurality of bodymotion cameras 16 ₁-16 ₈ and a plurality of facial motion cameras 14₁-14 _(N). In view of the high number of facial motion cameras in FIG.2, it should be appreciated that many are not labeled. In the presentembodiment of the invention, there are many more facial motion camerasthan body motion cameras. The body motion cameras 16 ₁-16 ₈ are arrangedroughly two per side of the motion capture volume 30, and the facialmotion cameras 14 ₁-14 _(N) are arranged roughly twelve per side of themotion capture volume 30. The facial motion cameras 14 ₁-14 _(N) and thebody motion cameras 16 ₁-16 _(N) are substantially the same except thatthe focusing lenses of the facial motion cameras are selected to providenarrower field of view than that of the body motion cameras.

FIG. 3 illustrates a side view of the motion capture volume 30 with theplurality of motion capture cameras arranged into roughly three tiersabove the floor of the motion capture volume. A lower tier includes aplurality of facial motion cameras 14 ₁-14 ₃₂, arranged roughly eightper side of the motion capture volume 30. In an embodiment of theinvention, each of the lower tier facial motion cameras 14 ₁-14 ₃₂ areaimed slightly upward so as to not include a camera roughly opposite themotion capture volume 30 from being included within the field of view.The motion capture cameras generally include a light source (e.g., anarray of light emitting diodes) used to illuminate the motion capturevolume 30. It is desirable to not have a motion capture camera “see” thelight source of another motion capture camera, since the light sourcewill appear to the motion capture camera as a bright reflectance thatwill overwhelm data from the reflective markers. A middle tier includesa plurality of body motion cameras 16 ₃-16 ₇ arranged roughly two perside of the motion capture volume 30. As discussed above, the bodymotion cameras have a wider field of view than the facial motioncameras, enabling each camera to include a greater amount of the motioncapture volume 30 within its respective field of view.

The upper tier includes a plurality of facial motion cameras (e.g., 14₃₃-14 ₅₂), arranged roughly five per side of the motion capture volume30. In an embodiment of the invention, each of the upper tier facialmotion cameras 14 ₃₃-14 ₅₂ are aimed slightly downward so as to notinclude a camera roughly opposite the motion capture volume 30 frombeing included within the field of view. Shown on the left-hand side ofFIG. 2, a number of facial motion cameras (e.g., 14 ₅₃-14 ₆₀) are alsoincluded in the middle tier focused on the front edge of the motioncapture volume 30. Since the actors' performance will be generallyfacing the front edge of the motion capture volume 30, the number ofcameras in that region are increased to reduce the amount of data lostto occlusion. In addition a number of facial motion cameras (e.g., 14₆₁-14 ₆₄) are included in the middle tier focused on the corners of themotion capture volume 30. These cameras also serve to reduce the amountof data lost to occlusion.

The body and facial motion cameras record images of the marked actorsfrom many different angles so that substantially all of the lateralsurfaces of the actors are exposed to at least one camera at all times.More specifically, it is preferred that the arrangement of camerasprovide that substantially all of the lateral surfaces of the actors areexposed to at least three cameras at all times. By placing the camerasat multiple heights, irregular surfaces can be modeled as the actormoves within the motion capture field 30. The present motion capturesystem 10 thereby records the actors' body movement simultaneously withfacial movement (i.e., expressions). As discussed above, audio recordingcan also be conducted simultaneously with motion capture.

FIG. 4 is a top view of the motion capture volume 30 illustrating anarrangement of facial motion cameras. The motion capture volume 30 isgraphically divided into quadrants, labeled a, b, c and d. Facial motioncameras are grouped into clusters 36, 38, with each camera clusterrepresenting a plurality of cameras. For example, one such cameracluster may include two facial motion cameras located in the lower tierand one facial motion camera located in the upper tier. Otherarrangements of cameras within a cluster can also be advantageouslyutilized. The two camera clusters 36, 38 are physically disposedadjacent to each other, yet offset horizontally from each other by adiscernable distance. The two camera clusters 36, 38 are each focused onthe front edge of quadrant d from an angle of approximately 45°. Thefirst camera cluster 36 has a field of view that extends from partiallyinto the front edge of quadrant c to the right end of the front edge ofquadrant d. The second camera cluster 38 has a field of view thatextends from the left end of the front edge of quadrant d to partiallyinto the right edge of quadrant d. Thus, the respective fields of viewof the first and second camera clusters 36, 38 overlap over thesubstantial length of the front edge of quadrant d. A similararrangement of camera clusters is included for each of the other outeredges (coincident with peripheral edge 32) of quadrants a, b, c and d.

FIG. 5 is a top view of the motion capture volume 30 illustratinganother arrangement of facial motion cameras. As in FIG. 4, the motioncapture volume 30 is graphically divided into quadrants a, b, c and d.Facial motion cameras are grouped into clusters 42, 44, with each cameracluster representing a plurality of cameras. As in the embodiment ofFIG. 4, the clusters may comprise one or more cameras located at variousheights. In this arrangement, the camera clusters 42, 44 are located atcorners of the motion capture volume 30 facing into the motion capturevolume. These corner camera clusters 42, 44 would record images of theactors that are not picked up by the other cameras, such as due toocclusion. Other like camera clusters would also be located at the othercorners of the motion capture volume 30.

Having a diversity of camera heights and angles with respect to themotion capture volume 30 serves to increase the available data capturedfrom the actors in the motion capture volume and reduces the likelihoodof data occlusion. It also permits a plurality of actors to be motioncaptured simultaneously within the motion capture volume 30. Moreover,the high number and diversity of the cameras enables the motion capturevolume 30 to be substantially larger than that of the prior art, therebyenabling a greater range of motion within the motion capture volume andhence more complex performances. It should be appreciated that numerousalternative arrangements of the body and facial motion cameras can alsobe advantageously utilized. For example, a greater or lesser number ofseparate tiers can be utilized, and the actual height of each camerawithin an individual tier can be varied.

In the foregoing description of the motion capture cameras, the body andfacial motion cameras remain fixed in place. This way, the motioncapture processor 12 has a fixed reference point against which movementof the body and facial markers can be measured. A drawback of thisarrangement is that it limits the size of the motion capture volume 30.If it was desired to capture the motion of a performance that requires agreater volume of space (e.g., a scene in which characters are runningover a larger distance), the performance would have to be divided upinto a plurality of segments that are motion captured separately.

In an alternative implementation, a number of the motion capture camerasremain fixed while others are moveable. In one configuration, themoveable motion capture cameras are moved to new position(s) and arefixed at the new position(s). In another configuration, the moveablemotion capture cameras are moved to follow the action. Thus, in thisconfiguration, the motion capture cameras perform motion capture whilemoving.

The moveable motion capture cameras can be moved usingcomputer-controlled servomotors or can be moved manually by human cameraoperators. If the cameras are moved to follow the action (i.e., thecamera perform motion capture while moving), the motion captureprocessor 12 would track the movement of the cameras, and remove thismovement in the subsequent processing of the captured data to generatethe three dimensional digital representation reflecting body and facialmotion corresponding to the performances of actors. The moveable camerascan be moved individually or moved together by placing the cameras on amobile motion capture rig. Thus, using mobile or movable cameras formotion capture provides improved flexibility in motion captureproduction.

In one implementation, illustrated in FIG. 13, a mobile motion capturerig 1300 includes six cameras 1310, 1312, 1314, 1316, 1320, 1322. FIG.13 shows a frontal view of the cameras positioned on the mobile motioncapture rig 1300. In the illustrated example of FIG. 13, four cameras1310, 1312, 1314, 1316 are motion capture cameras. Two cameras 1320,1322 are reference cameras. One reference camera 1320 is to show theview of the motion capture cameras 1310, 1312, 1314, 1316. The secondreference camera 1322 is for video reference and adjustment. However,different camera configurations are also possible, with differentnumbers of motion capture cameras and reference cameras.

Although FIG. 13 shows the mobile motion capture rig 1300 having fourmotion capture cameras and two reference cameras, the rig 1300 caninclude only one or more motion capture cameras. For example, in oneimplementation, the mobile motion capture rig 1300 includes two motioncapture cameras. In another implementation, the mobile motion capturerig 1300 includes one motion capture camera with a field splitter or amirror to provide a stereo view.

FIG. 14, FIG. 15, and FIG. 16 illustrate front, top, and side views,respectively, of a particular implementation of the mobile motioncapture rig shown in FIG. 13. The dimensions of the mobile motioncapture rig are approximately 40″×40″ in width and length, andapproximately 14″ in depth.

FIG. 14 shows a frontal view of the particular implementation of themobile motion capture rig 1400. Four mobile motion capture cameras 1410,1412, 1414, 1416 are disposed on the mobile motion capture rig 1400, andare positioned approximately 40 to 48 inches apart width- andlength-wise. Each mobile motion capture camera 1410, 1412, 1414, or 1416is placed on a rotatable cylindrical base having approximately 2″ outerdiameter. The mobile motion capture rig 1400 also includes referencecameras 1420, computer and display 1430, and a view finder 1440 forframing and focus.

In one implementation, the motion capture rig 1400 can be implmented asa wearable motion capture rig to be worn on a body and/or head. Forexample, a wearable motion capture rig may include at least one wearablemotion capture camera configured to capture facial markers disposed onthe face and/or body markers disposed on the body. In one case, thewearable motion capture cameras are attached to a helmet worn on thehead of the actor. In another case, the wearable motion capture camerasare attached to a harness worn on the body of the actor. Further, themotion capture cameras may be configured to capture facial and/or bodyfeatures rather than markers placed on the face and/or body. In anotherimplementation, motion capture cameras are configured to capture handsand fingers.

In one implementation regarding hand and/or finger capture, wearablemotion capture cameras are disposed such that they can capture handand/or finger of an actor. In this implementation, a marker is attachedat the tip of a finger of the actor or somewhere on the last joint ofthe finger when it is not possible or practicable to attach it to thetip of the finger, for example, when the marker at the tip would get inthe way of some action the actor must take. In another implementation, aglove is worn onto which the markers are attached. In thisimplementation, the glove fully covers the finger, so a marker can beattached at or very near the fingertip. However, the glove may have thefingertips cut off so that the actor can experience tactile sensationduring the performance. In that case, the marker is attached to theglove “near” the tip of the finger, but not “at” the fingertip becausethe fingertip portion of the glove has been cut off.

The finger motion capture can use several techniques including inversekinematics, interpolations, and marker placement. The inverse kinematicstechnique is used to approximate finger joint position/motioninformation. For example, in one implementation, a fingertip position isapproximated first, using data captured from a marker attached on ornear the fingertip. Next, the positions and orientations (or “motions”over a sequence of frames) of the joints and finger segments (i.e.,segments between joints) connecting to the fingertip can be approximatedusing inverse kinematics in conjunction with the fingertip positioninformation. This technique is in contrast to “forward kinematics,”where the positions and orientations of the joints and finger segmentsare determined first, and then use that information to determine theposition of the fingertip.

The interpolation technique is used to approximate the positions/motionsof the middle and ring fingers when markers have only been used on theindex and pinky fingers. For example, (a) the index and pinky fingertippositions are first approximated using fingertip marker data for thosetwo fingers; (b) the inverse kinematics and the fingertip positioninformation are then used to approximate thepositions/motions/orientations of the joints and/or finger segments ofthe index and pinky fingers; and (c) a weighted interpolation of indexand pinky finger positions is used to estimate the positions of theintervening fingers, middle and ring fingers.

Therefore, in estimating the position of the middle finger, the indexfinger position is weighted more than the pinky finger position becausethe middle finger is closer to the index finger than the pinky finger.However, in estimating the position of the ring finger, the pinky fingerposition is weighted more than the index finger position because thering finger is closer to the pinky finger than the index finger.

In other implementations, markers can be disposed on finger joints, aswell as on hands and wrists. For example, in one implementation referredto as a “high resolution” case, markers are attached to all fingerjoints. When all the finger parts have markers, there is little need toestimate the positions/motions of these parts because that informationcan be derived directly from the captured marker data. In anotherimplementation referred to as a “low resolution” case, markers areattached to only some joints. This may include cases where only the tips(or “near tips”) of the thumb, index finger, and pinky finger havemarkers attached, as discussed above.

FIG. 20 shows a marker placement configuration 2000 for attachingmarkers on a hand in accordance with one implementation of the presentinvention. In the illustrated implementation, two larger markers 2010,2012 are used on the back of the hand, and two more 2020, 2022 on eitherside of the wrist. These markers can be used to track hand and wristmotions, and possibly also to help track the finger markers due to theirproximity. That is, these larger markers 2010, 2012, 2020, 2022 can actas primary markers for tracking the positions or orientations of thehands and wrists. They could also act as secondary markers for trackingthe smaller, more numerous finger markers. In that case, the largermarkers 2010, 2012, 2020, 2022 are easier to track (i.e., less likely tobe mislabeled) than the finger markers, so tracking the finger markersmay be aided by tracking them in relation to the positions andorientations of the larger hand and wrist markers.

FIG. 15 shows a top view of the particular implementation of the mobilemotion capture rig 1400. This view illustrates the offset layout of thefour mobile motion capture cameras 1410, 1412, 1414, 1416. The topcameras 1410, 1412 are positioned at approximately 2 inches and 6 inchesin depth, respectively, while the bottom cameras 1414, 1416 arepositioned at approximately 14 inches and 1 inch in depth, respectively.Further, the top cameras 1410, 1412 are approximately 42 inches apart inwidth while the bottom cameras 1414, 1416 are approximately 46 inchesapart in width.

FIG. 16 shows a side view of the particular implementation of the mobilemotion capture rig 1400. This view highlights the different heights atwhich the four mobile motion capture cameras 1410, 1412, 1414, 1416 arepositioned. For example, the top cameras 1410 is positioned atapproximately 2 inches above the mobile motion capture camera 1412 whilethe bottom cameras 1414 is positioned at approximately 2 inches belowthe mobile motion capture camera 1416. In general, some of the motioncapture cameras should be positioned low enough (e.g., approximately 2feet off the ground) so that the cameras can capture performances atvery low heights, such as kneeling down and/or looking down on theground.

In another implementation, for example, a mobile motion capture rigincludes a plurality of mobile motion capture cameras but no referencecameras. Thus, in this implementation, the feedback from the mobilemotion capture cameras is used as reference information.

Further, various total numbers of cameras can be used in a motioncapture setup, such as 200 or more cameras distributed among multiplerigs or divided among one or more movable rigs and fixed positions. Forexample, the setup may include 208 fixed motion capture cameras (32performing real-time reconstruction of bodies) and 24 mobile motioncapture cameras. In one example, the 24 mobile motion capture camerasare distributed into six motion capture rigs, each rig including fourmotion capture cameras. In other examples, the motion capture camerasare distributed into any number of motion capture rigs including no rigssuch that the motion capture cameras are moved individually.

In yet another implementation, illustrated in FIG. 17, a mobile motioncapture rig 1700 includes six motion capture cameras 1710, 1712, 1714,1716, 1718, 1720 and two reference cameras 1730, 1732. FIG. 17 shows afrontal view of the cameras positioned on the mobile motion capture rig1700. Further, the motion capture rig 1700 can also include one or moredisplays to show the images captured by the reference cameras.

FIG. 18 illustrates a front perspective view of a mobile motion capturerig 1800 including cameras 1810, 1812, 1814, 1816, 1820. In theillustrated implemenation of FIG. 18, the mobile motion capture rig 1800includes servomotors that provide at least 6 degrees of freedom (6-DOF)movements to the motion capture cameras 1810, 1812, 1814, 1816, 1820.Thus, the 6-DOF movements include three translation movements along thethree axes X, Y, and Z, and three rotational movements about the threeaxes X, Y, and Z, namely tilt, pan, and rotate, respectively.

In one implementation, the motion capture rig 1800 provides the 6-DOFmovements to all five cameras 1810, 1812, 1814, 1816, 1820. In anotherimplementation, each of the cameras 1810, 1812, 1814, 1816, 1820 on themotion capture rig 1850 is restricted to some or all of the 6-DOFmovements. For example, the upper cameras 1810, 1812 may be restrictedto X and Z translation movements and pan and tilt down rotationalmovements; the lower cameras 1814, 1816 may be restricted to X and Ztranslation movements and pan and tilt up rotational movements; and thecenter camera 1820 may not be restricted so that it can move in all sixdirections (i.e., X, Y, Z translation movements and tilt, pan, androtate rotational movements). In a further implementation, the motioncapture rig 1800 moves, pans, tilts, and rotates during and/or betweenshots so that the cameras can be moved and positioned into a fixedposition or moved to follow the action.

In one implementation, the motion of the motion capture rig 1800 iscontrolled by one or more people. The motion control can be manual,mechanical, or automatic. In another implementation, the motion capturerig moves according to a pre-programmed set of motions. In anotherimplementation, the motion capture rig moves automatically based onreceived input, such as to track a moving actor based on RF, IR, sonic,or visual signals received by a rig motion control system.

In another implementation, the lighting for one or more fixed or mobilemotion capture cameras is enhanced in brightness. For example,additional lights are placed with each camera. The increased brightnessallows a reduced f-stop setting to be used and so can increase the depthof the volume for which the camera is capturing video for motioncapture.

In another implementation, the mobile motion capture rig includesmachine vision cameras using 24P video (i.e., 24 frames per second withprogressive image storage) and 60 frames per second motion capturecameras.

FIG. 19 illustrates one implementation of a method 1900 for capturingmotion using mobile cameras. Initially, a motion capture volumeconfigured to include at least one moving object is defined, at box1902. The moving object has markers defining a plurality of points onthe moving object. The volume can be an open space defined by useguidelines (e.g., actors and cameras are to stay within 10 meters of agiven location) or a restricted space defined by barriers (e.g., walls)or markers (e.g., tape on a floor). In another implementation, thevolume is defined by the area that can be captured by the motion capturecameras (e.g., the volume moves with the mobile motion capture cameras).Then, at box 1904, at least one mobile motion capture camera is movedaround a periphery of the motion capture volume such that substantiallyall laterally exposed surfaces of the moving object while in motionwithin the motion capture volume are within a field of view of themobile motion capture cameras at substantially all times. In anotherimplementation, one or more mobile motion capture cameras move withinthe volume, rather than only the perimeter (instead of, or in additionto, one or more cameras moving around the periphery).

Finally, data from the motion capture cameras is processed, at box 1906,to produce a digital representation of movement of the moving object.FIG. 6 is a perspective view of the motion capture volume 30illustrating motion capture data reflecting two actors 52, 54 within themotion capture volume. The view of FIG. 6 reflects how the motioncapture data would be viewed by an operator of a workstation 18 asdescribed above with respect to FIG. 1. Similar to FIGS. 2 and 3(above), FIG. 6 further illustrates a plurality of facial motioncameras, including cameras 14 ₁-14 ₁₂ located in a lower tier, cameras14 ₃₃-14 ₄₀ located in an upper tier, and cameras 14 ₆₀, 14 ₆₂ locatedin the corners of motion capture volume 30. The two actors 52, 54 appearas a cloud of dots corresponding to the reflective markers on their bodyand face. As shown and discussed above, there are a much higher numberof markers located on the actors' faces than on their bodies. Themovement of the actors' bodies and faces is tracked by the motioncapture system 10, as substantially described above.

Referring now to FIGS. 7 and 8, motion capture data is shown as it wouldbe viewed by an operator of a workstation 18. As in FIG. 6, the motioncapture data reflects two actors 52, 54 in which the high concentrationof dots reflects the actors' faces and the other dots reflect bodypoints. The motion capture data further includes three occlusion regions62, 64, 66 illustrated as oval shapes. The occlusion regions 62, 64, 66represent places in which reliable motion data was not captured due tolight from one of the cameras falling within the fields of view of othercameras. This light overwhelms the illumination from the reflectivemarkers, and is interpreted by motion capture processor 12 as a body orfacial marker. The image processing process executed by the motioncapture processor 12 generates a virtual mask that filters out thecamera illumination by defining the occlusion regions 62, 64, 66illustrated in FIGS. 7 and 8. The production company can attempt tocontrol the performance of the actors to physically avoid movement thatis obscured by the occlusion regions. Nevertheless, some loss of datacapture inevitably occurs, as shown in FIG. 8 in which the face of actor54 has been almost completely obscured by physical movement into theocclusion region 64.

FIG. 9 illustrates an embodiment of the motion capture system thatreduces the occlusion problem. Particularly, FIG. 9 illustrates cameras84 and 74 that are physically disposed opposite one another across themotion capture volume (not shown). The cameras 84, 74 include respectivelight sources 88, 78 adapted to illuminate the fields of view of thecameras. The cameras 84, 74 are further provided with polarized filters86, 76 disposed in front of the camera lenses. As will be clear from thefollowing description, the polarized filters 86, 76 are arranged (i.e.,rotated) out of phase with respect to each other. Light source 88 emitslight that is polarized by polarized filter 86. The polarized lightreaches polarized filter 76 of camera 74, but, rather than passingthrough to camera 74, the polarized light is reflected off of orabsorbed by polarized filter 76. As a result, the camera 84 will not“see” the illumination from camera 74, thereby avoiding formation of anocclusion region and obviating the need for virtual masking.

While the preceding description referred to the use of optical sensingof physical markers affixed to the body and face to track motion, itshould be appreciated to those skilled in the art that alternative waysto track motion can also be advantageously utilized. For example,instead of affixing markers, physical features of the actors (e.g.,shapes of nose or eyes) can be used as natural markers to track motion.Such a feature-based motion capture system would eliminate the task ofaffixing markers to the actors prior to each performance. In addition,alternative media other than optical can be used to detect correspondingmarkers. For example, the markers can comprise ultrasonic orelectromagnetic emitters that are detected by corresponding receiversarranged around the motion capture volume. In this regard, it should beappreciated that the cameras described above are merely optical sensorsand that other types of sensors can also be advantageously utilized.

Referring now to FIG. 10, a block diagram illustrates a motion capturesystem 100 in accordance with an alternative embodiment of the presentinvention. The motion capture system 100 has substantially increaseddata capacity over the preceding embodiment described above, and issuitable to capture a substantially larger amount of data associatedwith an enlarged motion capture volume. The motion capture system 100includes three separate networks tied together by a master server 110that acts as a repository for collected data. The networks include adata network 120, an artists network 130, and a reconstruction rendernetwork 140. The master server 110 provides central control and datastorage for the motion capture system 100. The data network 120communicates the two-dimensional (2D) data captured during a performanceto the master server 110. The artists network 130 and reconstructionrender network 140 may subsequently access these same 2D data files fromthe master server 110. The master server 110 may further include amemory 112 system suitable for storing large volumes of data.

The data network 120 provides an interface with the motion capturecameras and provides initial data processing of the captured motiondata, which is then provided to the master server 110 for storage inmemory 112. More particularly, the data network 120 is coupled to aplurality of motion capture cameras 122 ₁-122 _(N) that are arrangedwith respect to a motion capture volume (described below) to capture thecombined motion of one or more actors performing within the motioncapture volume. The data network 120 may also be coupled to a pluralityof microphones 126 ₁-126 _(N) either directly or through a suitableaudio interface 124 to capture audio associated with the performance(e.g., dialog). One of more user workstations 128 may be coupled to thedata network 120 to provide operation, control and monitoring of thefunction of the data network. In an embodiment of the invention, thedata network 120 may be provided by a plurality of motion capture dataprocessing stations, such as available from Vicon Motion Systems orMotion Analysis Corp, along with a plurality of slave processingstations for collating captured data into 2D files.

The artists network 130 provides a high speed infrastructure for aplurality of data checkers and animators using suitable workstations 132₁-132 _(N). The data checkers access the 2D data files from the masterserver 110 to verify the acceptability of the data. For example, thedata checkers may review the data to verify that critical aspects of theperformance were captured. If important aspects of the performance werenot captured, such as if a portion of the data was occluded, theperformance can be repeated As necessary until the captured data isdeemed acceptable. The data checkers and associated workstations 132₁-132 _(N) may be located in close physical proximity to the motioncapture volume in order to facilitate communication with the actorsand/or scene director.

The reconstruction render network 140 provides high speed dataprocessing computers suitable for performing automated reconstruction ofthe 2D data files and rendering the 2D data files into three-dimensional(3D) animation files that are stored by the master server 110. One ofmore user workstations 142 ₁-142 _(N) may be coupled to thereconstruction render network 140 to provide operation, control andmonitoring of the function of the data network. The animators accessingthe artists network 130 will also access the 3D animation files in thecourse of producing the final computer graphics animation.

Similar to the description above for fixed motion capture cameras,motion (e.g., video) captured by the mobile cameras of the motioncapture rig is provided to a motion capture processing system, such asthe data network 120 (see FIG. 10). Moreover, the motion captureprocessing system uses the captured motion to determine the location andmovement of markers on a target (or targets) in front of the motioncapture cameras. The processing system uses the location information tobuild and update a three dimensional model (a point cloud) representingthe target(s). In a system using multiple motion capture rigs or acombination of one or more motion capture rigs and one or more fixedcameras, the processing system combines the motion capture informationfrom the various sources to produce the model.

In one implementation, the processing system determines the location ofthe motion capture rig and the location of the cameras in the rig bycorrelating the motion capture information for those cameras withinformation captured by other motion capture cameras (e.g., referencecameras as part of calibration). The processing system can automaticallyand dynamically calibrate the motion capture cameras as the motioncapture rig moves. The calibration may be based on other motion captureinformation, such as from other rigs or from fixed cameras, determininghow the motion capture rig information correlates with the rest of themotion capture model.

In another implementation, the processing system calibrates the camerasusing motion capture information representing the location of fixedtracking markers or dots attached to known fixed locations in thebackground. Thus, the processing system ignores markers or dots onmoving targets for the purpose of calibration.

FIG. 11 illustrates a top view of another motion capture volume 150. Asin the foregoing embodiment, the motion capture volume 150 is agenerally rectangular shaped region subdivided by gridlines. In thisembodiment, the motion capture volume 150 is intended to represent asignificantly larger space, and can be further subdivided into foursections or quadrants (A, B, C, D). Each section has a size roughlyequal to that of the motion capture volume 30 described above, so thismotion capture volume 150 has four times the surface area of thepreceding embodiment. An additional section E is centered within thespace and overlaps partially with each of the other sections. Thegridlines further include numerical coordinates (1-5) along the verticalaxes and alphabetic coordinates (A-E) along the horizontal axes. Thisway, a particular location on the motion capture volume can be definedby its alphanumeric coordinates, such as region 4A. Such designationpermits management of the motion capture volume 150 in terms ofproviding direction to the actors as to where to conduct theirperformance and/or where to place props. The gridlines and alphanumericcoordinates may be physically marked onto the floor of the motioncapture volume 150 for the convenience of the actors and/or scenedirector. It should be appreciated that these gridlines and alphanumericcoordinates would not be included in the 2D data files.

In a preferred embodiment of the invention, each of the sections A-E hasa square shape having dimensions of 10 ft by 10 ft, for a total area of400 sq ft, i.e., roughly four times larger than the motion capturevolume of the preceding embodiment. It should be appreciated that othershapes and sizes for the motion capture volume 150 can also beadvantageously utilized.

Referring now to FIGS. 12A-12C, an arrangement of motion capture cameras122 ₁-122 _(N) is illustrated with respect to a peripheral region aroundthe motion capture volume 150. The peripheral region provides for theplacement of scaffolding to support cameras, lighting, and otherequipment, and is illustrated as' regions 152 ₁-152 ₄. The motioncapture cameras 122 ₁-122 _(N) are located generally evenly in each ofthe regions 152 ₁-152 ₄ surrounding the motion capture volume 150 with adiversity, of camera heights and angles. Moreover, the motion capturecameras 122 ₁-122 _(N) are each oriented to focus on individual ones ofthe sections of the motion capture volume 150, rather than on the entiremotion capture volume. In embodiment of the invention, there aretwo-hundred total motion capture cameras with groups of forty individualcameras devoted to each one of the five sections A-E of the motioncapture volume 150.

More specifically, the arrangement of motion capture cameras 122 ₁-122_(N) may be defined by distance from the motion capture volume andheight off the floor of the motion capture volume 150. FIG. 12Aillustrates an arrangement of a first group of motion capture cameras122 ₁-122 _(N) that are oriented the greatest distance from the motioncapture volume 150 and at the generally lowest height. Referring toregion 152, (of which the other regions are substantially identical),there are three rows of cameras with a first row 172 disposed radiallyoutward with respect to the motion capture volume 150 at the highestheight from the floor (e.g., 6 ft), a second row 174 at a slightly lowerheight (e.g., 4 ft), and a third row 176 disposed radially inward withrespect to the first and second rows and at a lowest height (e.g., 1ft). In the embodiment, there are eighty total motion capture cameras inthis first group.

FIG. 12B illustrates an arrangement of a second group of motion capturecameras 122 ₈₁-122 ₁₆₀ that are oriented closer to the motion capturevolume 150 than the first group and at a height greater than that of thefirst group. Referring to region 152 ₁ (of which the other regions aresubstantially identical), there are three rows of cameras with a firstrow 182 disposed radially outward with respect to the motion capturevolume at the highest height from the floor (e.g., 14 ft), a second row184 at a slightly lower height (e.g., 11 ft), and a third row 186disposed radially inward with respect to the first and second rows andat a lowest height (e.g., 9 ft). In the embodiment, there are eightytotal motion capture cameras in this second group.

FIG. 12C illustrates an arrangement of a third group of motion capturecameras 122 ₁₆₁-122 ₂₀₀ that are oriented closer to the motion capturevolume 150 than the second group and at a height greater than that ofthe second group. Referring to region 152 ₁ (of which the other regionsare substantially identical), there are three rows of cameras with afirst row 192 disposed radially outward with respect to the motioncapture volume at the highest height from the floor (e.g., 21 ft), asecond row 194 at a slightly lower height (e.g., 18 ft), and a third row196 disposed radially inward with respect to the first and second rowsat a lower height (e.g., 17 ft). In the embodiment, there are fortytotal motion capture cameras in this second group. It should beappreciated that other arrangements of motion capture cameras anddifferent numbers of motion capture cameras can also be advantageouslyutilized.

The motion capture cameras are focused onto respective sections of themotion capture volume 150 in a similar manner as described above withrespect to FIG. 4. For each of the sections A-E of the motion capturevolume 150, motion capture cameras from each of the four sides will befocused onto the section. By way of example, the cameras from the firstgroup most distant from the motion capture volume may focus on thesections of the motion capture volume closest thereto. Conversely, thecameras from the third group most close to the motion capture volume mayfocus on the sections of the motion capture volume farthest therefrom.Cameras from one end of one of the sides may focus on sections at theother end. In a more specific example, section A of the motion capturevolume 150 may be covered by a combination of certain low height camerasfrom the first row 182 and third row 186 of peripheral region 152 ₁, lowheight cameras from the first row 182 and third row 186 of peripheralregion 152 ₄, medium height cameras from the second row 184 and thirdrow 186 of peripheral region 152 ₃, medium height cameras from thesecond row 184 and third row 186 of peripheral region 152 ₂. FIGS. 12Aand 12B further reveal a greater concentration of motion cameras in thecenter of the peripheral regions for capture of motion within the centersection E.

By providing a diversity of angles and heights, with many camerasfocusing on the sections of the motion capture volume 150, there is fargreater likelihood of capturing the entire performance while minimizingincidents of undesirable occlusions. In view of the large number ofcameras used in this arrangement, it may be advantageous to place lightshields around each of the camera to cut down on detection of extraneouslight from another camera located opposite the motion capture volume. Inthis embodiment of the invention, the same cameras are used to captureboth facial and body motion at the same time, so there is no need forseparate body and facial motion cameras. Different sized markers may beutilized on the actors in order to distinguish between facial and bodymotion, with generally larger markers used overall in order to ensuredata capture given the larger motion capture volume. For example, 9millimeter markers may be used for the body and 6 millimeter markersused for the face.

Various implementations of the invention are realized in electronichardware, computer software, or combinations of these technologies. Oneimplementation includes one or more programmable processors andcorresponding computer system components to store and execute computerinstructions, such as to provide the motion capture processing of thevideo captured by the mobile motion capture cameras and to calibratethose cameras during motion. Other implementations include one or morecomputer programs executed by a programmable processor or computer. Ingeneral, each computer includes one or more processors, one or moredata-storage components (e.g., volatile or non-volatile memory modulesand persistent optical and magnetic storage devices, such as hard andfloppy disk drives, CD-ROM drives, and magnetic tape drives), one ormore input devices (e.g., mice and keyboards), and one or more outputdevices (e.g., display consoles and printers).

The computer programs include executable code that is usually stored ina persistent storage medium and then copied into memory at run-time. Theprocessor executes the code by retrieving program instructions frommemory in a prescribed order. When executing the program code, thecomputer receives data from the input and/or storage devices, performsoperations on the data, and then delivers the resulting data to theoutput and/or storage devices.

Various illustrative implementations of the present invention have beendescribed. However, one of ordinary skill in the art will see thatadditional implementations are also possible and within the scope of thepresent invention. For example, in one variation, a combination ofmotion capture rigs with different numbers of cameras can be used tocapture motion of targets before the cameras. Different numbers of fixedand mobile cameras can achieve desired results and accuracy, forexample, 50% fixed cameras and 50% mobile cameras; 90% fixed cameras and10% mobile cameras; or 100% mobile cameras. Therefore, the configurationof the cameras (e.g., number, position, fixed vs. mobile, etc.) can beselected to match the desired result.

Accordingly, the present invention is not limited to only thoseimplementations described above.

1. A method for capturing motion, comprising: coupling at least one bodymarker on at least one body point of at least one actor; coupling atleast one facial marker on at least one facial point of the at least oneactor; arranging a plurality of motion capture cameras around aperiphery of a motion capture volume, the plurality of motion capturecameras is arranged such that substantially all laterally exposedsurfaces of the at least one actor while in motion within the motioncapture volume are within a field of view of at least one of theplurality of motion capture cameras at substantially all times;attaching at least one wearable motion capture camera to the at leastone actor, wherein substantially all of the at least one facial markerand the at least one body marker on the at least one actor are within afield of view of the at least one wearable motion capture camera.
 2. Themethod of claim 1, wherein the at least one wearable motion capturecamera is attached to a helmet worn on a head of the at least one actor,wherein the at least one wearable motion capture camera moves with theat least one actor.
 3. The method of claim 1, wherein the at least onewearable motion capture camera is attached to a harness worn on a bodyof the at least one actor.
 4. The method of claim 1, wherein coupling atleast one body marker on at least one body point comprises coupling theat least one body marker near the tip of each of at least one finger. 5.The method of claim 4, further comprising: capturing motion data fromthe at least one motion body marker; and generating a digitalrepresentation of a motion of the at least one finger using the capturedmotion data.
 6. The method of claim 5, wherein generating a digitalrepresentation includes determining a movement of a finger joint of theat least one finger using an inverse kinematics approximation.
 7. Themethod of claim 5, wherein coupling at least one body marker includescoupling at least one body marker near the tip of each of thumb, indexfinger, and pinky finger of a hand.
 8. The method of claim 7, whereingenerating a digital representation includes interpolating motions of amiddle finger and a ring finger of the hand using motion data of theindex finger and the pinky finger.
 9. The method of claim 4, wherein theat least one body marker is attached to a glove worn over the at leastone finger.
 10. The method of claim 4, further comprising coupling atleast one body marker to at least one joint of the at least one finger.11. The method of claim 4, further comprising coupling at least one bodymarker to a back of a hand connected to the at least one finger.
 12. Themethod of claim 11, further comprising coupling at least one body markerto a wrist connected to the hand.
 13. A system for capturing facial andbody motion, comprising: at least one wearable motion capture cameraattached to an actor; and a motion capture processor coupled to the atleast one wearable motion capture camera to produce a digitalrepresentation of movements of a face and hands of the actor, wherein aplurality of facial markers defining plural facial points is disposed onthe face and a plurality of body markers defining plural body points isdisposed on the hands, wherein the at least one wearable motion capturecamera is positioned so that each of the plurality of facial markers andthe plurality of body markers is within a field of view of the at leastone wearable motion capure camera, and wherein the at least one wearablemotion capture camera is configured to move with the actor.
 14. Thesystem of claim 13, further comprising a helmet worn on a head of theactor, wherein the at least one wearable motion capture camera isattached to the helmet for capturing the plurality of facial markers onthe face of the actor.
 15. The system of claim 13, further comprising aharness worn on a body of the actor, wherein the at least one wearablemotion capture camera is attached to the harness for capturing theplurality of body markers on the hands of the actor.
 16. Anon-transitory tangible storage medium storing a computer program forcapturing hand motion of an actor, the computer program comprisingexecutable instructions that cause a computer to: capture motion datafrom at least one body marker attached near a tip of each of at leastone finger of the actor; and generate a digital representation of amotion of the at least one finger using the captured motion data. 17.The non-transitory tangible storage medium of claim 16, wherein theexecutable instructions that cause a computer to generate a digitalrepresentation comprises executable instructions that cause a computerto determine a movement of a finger joint of the at least one fingerusing an inverse kinematics approximation.
 18. The non-transitorytangible storage medium of claim 16, wherein the executable instructionsthat cause a computer to generate a digital representation comprisesexecutable instructions that cause a computer to interpolate motions ofa middle finger and a ring finger of an actor's hand using motion dataof an index finger and a pinky finger obtained from at least one bodymarker placed near the tip of the index finger and the pinky finger. 19.The non-transitory tangible storage medium of claim 16, wherein the atleast one body marker is attached to a glove worn over the at least onefinger.